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Schlumberger Announces Collaboration With AWS to Deploy DELFI Petrotechnical Suite on AWS

Schlumberger Announces Collaboration With AWS to Deploy DELFI Petrotechnical Suite on AWS

Schlumberger announced a collaboration with Amazon Web Services (AWS) to deploy domain centric digital solutions, enabled by the DELFI* cognitive E&P environment, on the cloud with AWS. This collaboration will bring AWS customers to the DELFI Petrotechnical Suite, which provides access to AI-enhanced applications from Schlumberger and high-performance computing from AWS’s secure, extensive, and reliable global infrastructure.

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“Our partnership with AWS complements our strategy to further expand access to the DELFI environment so that more customers can benefit from their subsurface data,” said Rajeev Sonthalia, president, Digital & Integration, Schlumberger. “By increasing access to digital solutions enabled by DELFI, our collaboration with AWS further unlocks opportunities for customers to continuously improve their productivity and performance.”

The collaboration enables more customers to use advanced digital solutions in the DELFI Petrotechnical Suite to draw deep insights from a large pool of data sources and apply those insights across their workflows for faster and better decision making.

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“With AWS, Schlumberger can leverage the most comprehensive set of cloud services in the world, including AI and machine learning services that easily integrate with customer applications,” said Matt Garman senior vice president of sales & marketing at AWS. “Schlumberger’s cloud-based solutions paired with the high performance, scalability and security of AWS cloud, increase efficiencies so customers have more freedom to innovate—and this is just the beginning. By combining our expertise, we have the potential to accelerate innovation across the entire energy sector including new energies.”

By deploying digital solutions enabled by the DELFI environment and running on AWS, customers can run complex models, computer simulations, and analyses in a fraction of the time compared to traditional computing solutions.

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